Pandas Profile Report

Dataset statistics

Number of variables	40
Number of observations	5000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.7 MiB
Average record size in memory	354.4 B

Variable types

Numeric	9
Categorical	31

Alerts

`has_secondary_use_gov_office` has constant value ""	Constant
`has_secondary_use_use_police` has constant value ""	Constant
`count_floors_pre_eq` is highly overall correlated with `height_percentage` and 1 other fields	High correlation
`height_percentage` is highly overall correlated with `count_floors_pre_eq`	High correlation
`foundation_type` is highly overall correlated with `roof_type` and 3 other fields	High correlation
`roof_type` is highly overall correlated with `foundation_type` and 1 other fields	High correlation
`ground_floor_type` is highly overall correlated with `has_superstructure_cement_mortar_brick`	High correlation
`other_floor_type` is highly overall correlated with `count_floors_pre_eq` and 1 other fields	High correlation
`has_superstructure_mud_mortar_stone` is highly overall correlated with `foundation_type`	High correlation
`has_superstructure_cement_mortar_brick` is highly overall correlated with `ground_floor_type`	High correlation
`has_superstructure_rc_non_engineered` is highly overall correlated with `foundation_type`	High correlation
`has_superstructure_rc_engineered` is highly overall correlated with `foundation_type`	High correlation
`has_secondary_use` is highly overall correlated with `has_secondary_use_agriculture` and 1 other fields	High correlation
`has_secondary_use_agriculture` is highly overall correlated with `has_secondary_use`	High correlation
`has_secondary_use_hotel` is highly overall correlated with `has_secondary_use`	High correlation
`land_surface_condition` is highly imbalanced (52.4%)	Imbalance
`foundation_type` is highly imbalanced (60.9%)	Imbalance
`ground_floor_type` is highly imbalanced (59.9%)	Imbalance
`position` is highly imbalanced (50.4%)	Imbalance
`plan_configuration` is highly imbalanced (90.7%)	Imbalance
`has_superstructure_adobe_mud` is highly imbalanced (55.8%)	Imbalance
`has_superstructure_stone_flag` is highly imbalanced (77.5%)	Imbalance
`has_superstructure_cement_mortar_stone` is highly imbalanced (86.2%)	Imbalance
`has_superstructure_mud_mortar_brick` is highly imbalanced (65.3%)	Imbalance
`has_superstructure_cement_mortar_brick` is highly imbalanced (62.4%)	Imbalance
`has_superstructure_bamboo` is highly imbalanced (56.2%)	Imbalance
`has_superstructure_rc_non_engineered` is highly imbalanced (77.1%)	Imbalance
`has_superstructure_rc_engineered` is highly imbalanced (88.4%)	Imbalance
`has_superstructure_other` is highly imbalanced (89.5%)	Imbalance
`legal_ownership_status` is highly imbalanced (85.6%)	Imbalance
`has_secondary_use_agriculture` is highly imbalanced (65.1%)	Imbalance
`has_secondary_use_hotel` is highly imbalanced (79.0%)	Imbalance
`has_secondary_use_rental` is highly imbalanced (93.7%)	Imbalance
`has_secondary_use_institution` is highly imbalanced (99.1%)	Imbalance
`has_secondary_use_school` is highly imbalanced (99.5%)	Imbalance
`has_secondary_use_industry` is highly imbalanced (98.5%)	Imbalance
`has_secondary_use_health_post` is highly imbalanced (99.3%)	Imbalance
`has_secondary_use_other` is highly imbalanced (95.8%)	Imbalance
`building_id` has unique values	Unique
`geo_level_1_id` has 92 (1.8%) zeros	Zeros
`age` has 540 (10.8%) zeros	Zeros
`count_families` has 372 (7.4%) zeros	Zeros

Reproduction

Analysis started	2023-05-13 14:03:21.173929
Analysis finished	2023-05-13 14:03:26.623695
Duration	5.45 seconds
Software version	ydata-profiling vv4.1.2
Download configuration	config.json

building_id
Real number (ℝ)

Distinct	5000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	517695.13

Minimum	211
Maximum	1052595
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	207.2 KiB

Quantile statistics

Minimum	211
5-th percentile	51891.25
Q1	257904.75
median	507432
Q3	782577.75
95-th percentile	992943.1
Maximum	1052595
Range	1052384
Interquartile range (IQR)	524673

Descriptive statistics

Standard deviation	301978.57
Coefficient of variation (CV)	0.58331352
Kurtosis	-1.1886795
Mean	517695.13
Median Absolute Deviation (MAD)	261246.5
Skewness	0.041247872
Sum	2.5884757 × 10⁹
Variance	9.1191057 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
802906	1	< 0.1%
340888	1	< 0.1%
950057	1	< 0.1%
325526	1	< 0.1%
109058	1	< 0.1%
499146	1	< 0.1%
648235	1	< 0.1%
812124	1	< 0.1%
725378	1	< 0.1%
917635	1	< 0.1%
Other values (4990)	4990	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
211	1	< 0.1%
459	1	< 0.1%
822	1	< 0.1%
1028	1	< 0.1%
1236	1	< 0.1%
1323	1	< 0.1%
2095	1	< 0.1%
2417	1	< 0.1%
2588	1	< 0.1%
3649	1	< 0.1%

Value	Count	Frequency (%)
1052595	1	< 0.1%
1052508	1	< 0.1%
1052121	1	< 0.1%
1051824	1	< 0.1%
1051637	1	< 0.1%
1051267	1	< 0.1%
1050374	1	< 0.1%
1050290	1	< 0.1%
1050285	1	< 0.1%
1049790	1	< 0.1%

geo_level_1_id
Real number (ℝ)

Distinct	31
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.7978

Minimum	0
Maximum	30
Zeros	92
Zeros (%)	1.8%
Negative	0
Negative (%)	0.0%
Memory size	207.2 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	7
median	12
Q3	20
95-th percentile	27
Maximum	30
Range	30
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	7.9353834
Coefficient of variation (CV)	0.57511947
Kurtosis	-1.1866239
Mean	13.7978
Median Absolute Deviation (MAD)	6
Skewness	0.27018242
Sum	68989
Variance	62.970309
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
6	471	9.4%
17	441	8.8%
10	401	8.0%
26	392	7.8%
7	376	7.5%
20	369	7.4%
8	356	7.1%
21	286	5.7%
4	279	5.6%
27	234	4.7%
Other values (21)	1395	27.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	92	1.8%
1	40	0.8%
2	11	0.2%
3	147	2.9%
4	279	5.6%
5	51	1.0%
6	471	9.4%
7	376	7.5%
8	356	7.1%
9	86	1.7%

Value	Count	Frequency (%)
30	44	0.9%
29	3	0.1%
28	6	0.1%
27	234	4.7%
26	392	7.8%
25	114	2.3%
24	27	0.5%
23	18	0.4%
22	115	2.3%
21	286	5.7%

geo_level_2_id
Real number (ℝ)

Distinct	987
Distinct (%)	19.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	690.168

Minimum	1
Maximum	1426
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	207.2 KiB

Quantile statistics

Minimum	1
5-th percentile	68.95
Q1	337
median	678
Q3	1030
95-th percentile	1376
Maximum	1426
Range	1425
Interquartile range (IQR)	693

Descriptive statistics

Standard deviation	410.36269
Coefficient of variation (CV)	0.59458376
Kurtosis	-1.1648781
Mean	690.168
Median Absolute Deviation (MAD)	347.5
Skewness	0.072768487
Sum	3450840
Variance	168397.53
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39	67	1.3%
158	47	0.9%
181	42	0.8%
1387	40	0.8%
363	37	0.7%
673	37	0.7%
463	35	0.7%
548	35	0.7%
157	34	0.7%
883	31	0.6%
Other values (977)	4595	91.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	0.1%
3	1	< 0.1%
4	10	0.2%
5	1	< 0.1%
7	2	< 0.1%
8	1	< 0.1%
9	13	0.3%
10	12	0.2%
11	9	0.2%
13	2	< 0.1%

Value	Count	Frequency (%)
1426	7	0.1%
1425	2	< 0.1%
1422	3	0.1%
1421	5	0.1%
1420	1	< 0.1%
1419	2	< 0.1%
1418	2	< 0.1%
1416	5	0.1%
1415	7	0.1%
1414	14	0.3%

geo_level_3_id
Real number (ℝ)

Distinct	3361
Distinct (%)	67.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6245.8852

Minimum	3
Maximum	12561
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	207.2 KiB

Quantile statistics

Minimum	3
5-th percentile	621
Q1	3007
median	6095
Q3	9501.5
95-th percentile	11912.1
Maximum	12561
Range	12558
Interquartile range (IQR)	6494.5

Descriptive statistics

Standard deviation	3671.5388
Coefficient of variation (CV)	0.58783322
Kurtosis	-1.2475764
Mean	6245.8852
Median Absolute Deviation (MAD)	3237
Skewness	0.031648883
Sum	31229426
Variance	13480197
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8236	11	0.2%
9133	11	0.2%
11246	10	0.2%
11440	10	0.2%
2452	10	0.2%
12258	8	0.2%
2005	8	0.2%
9229	8	0.2%
1851	8	0.2%
10236	8	0.2%
Other values (3351)	4908	98.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	< 0.1%
8	1	< 0.1%
11	1	< 0.1%
15	1	< 0.1%
16	1	< 0.1%
17	1	< 0.1%
20	3	0.1%
22	1	< 0.1%
24	3	0.1%
26	1	< 0.1%

Value	Count	Frequency (%)
12561	1	< 0.1%
12553	1	< 0.1%
12532	1	< 0.1%
12528	1	< 0.1%
12527	1	< 0.1%
12526	1	< 0.1%
12512	1	< 0.1%
12511	1	< 0.1%
12508	2	< 0.1%
12494	1	< 0.1%

count_floors_pre_eq
Real number (ℝ)

Distinct	8
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1326

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	207.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	2
95-th percentile	3
Maximum	8
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.73206859
Coefficient of variation (CV)	0.34327515
Kurtosis	2.8675546
Mean	2.1326
Median Absolute Deviation (MAD)	0
Skewness	0.90569287
Sum	10663
Variance	0.53592442
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	3021	60.4%
3	1043	20.9%
1	768	15.4%
4	124	2.5%
5	39	0.8%
6	3	0.1%
7	1	< 0.1%
8	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	768	15.4%
2	3021	60.4%
3	1043	20.9%
4	124	2.5%
5	39	0.8%
6	3	0.1%
7	1	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
7	1	< 0.1%
6	3	0.1%
5	39	0.8%
4	124	2.5%
3	1043	20.9%
2	3021	60.4%
1	768	15.4%

age
Real number (ℝ)

Distinct	27
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.893

Minimum	0
Maximum	995
Zeros	540
Zeros (%)	10.8%
Negative	0
Negative (%)	0.0%
Memory size	207.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	10
median	15
Q3	30
95-th percentile	60
Maximum	995
Range	995
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	65.777799
Coefficient of variation (CV)	2.6424215
Kurtosis	196.02818
Mean	24.893
Median Absolute Deviation (MAD)	10
Skewness	13.509181
Sum	124465
Variance	4326.7189
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
10	722	14.4%
15	675	13.5%
5	666	13.3%
20	642	12.8%
0	540	10.8%
25	450	9.0%
30	362	7.2%
35	222	4.4%
40	176	3.5%
50	128	2.6%
Other values (17)	417	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	540	10.8%
5	666	13.3%
10	722	14.4%
15	675	13.5%
20	642	12.8%
25	450	9.0%
30	362	7.2%
35	222	4.4%
40	176	3.5%
45	99	2.0%

Value	Count	Frequency (%)
995	21	0.4%
190	1	< 0.1%
120	4	0.1%
115	1	< 0.1%
110	4	0.1%
105	2	< 0.1%
100	28	0.6%
95	3	0.1%
90	15	0.3%
85	22	0.4%

area_percentage
Real number (ℝ)

Distinct	45
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.0978

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	207.2 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	5
median	7
Q3	10
95-th percentile	16
Maximum	100
Range	99
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	4.6058743
Coefficient of variation (CV)	0.56878094
Kurtosis	45.950263
Mean	8.0978
Median Absolute Deviation (MAD)	2
Skewness	4.2072904
Sum	40489
Variance	21.214078
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
6	806	16.1%
7	689	13.8%
5	615	12.3%
8	584	11.7%
9	400	8.0%
4	364	7.3%
10	295	5.9%
11	275	5.5%
3	218	4.4%
12	147	2.9%
Other values (35)	607	12.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	0.1%
2	61	1.2%
3	218	4.4%
4	364	7.3%
5	615	12.3%
6	806	16.1%
7	689	13.8%
8	584	11.7%
9	400	8.0%
10	295	5.9%

Value	Count	Frequency (%)
100	1	< 0.1%
56	1	< 0.1%
55	1	< 0.1%
51	1	< 0.1%
50	1	< 0.1%
47	1	< 0.1%
42	1	< 0.1%
40	1	< 0.1%
39	1	< 0.1%
38	5	0.1%

height_percentage
Real number (ℝ)

Distinct	17
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.4454

Minimum	2
Maximum	32
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	207.2 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	4
median	5
Q3	6
95-th percentile	9
Maximum	32
Range	30
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9249311
Coefficient of variation (CV)	0.35349674
Kurtosis	11.986289
Mean	5.4454
Median Absolute Deviation (MAD)	1
Skewness	1.6747551
Sum	27227
Variance	3.7053599
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
5	1571	31.4%
6	865	17.3%
4	714	14.3%
7	642	12.8%
3	475	9.5%
8	271	5.4%
2	185	3.7%
9	112	2.2%
10	93	1.9%
11	22	0.4%
Other values (7)	50	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	185	3.7%
3	475	9.5%
4	714	14.3%
5	1571	31.4%
6	865	17.3%
7	642	12.8%
8	271	5.4%
9	112	2.2%
10	93	1.9%
11	22	0.4%

Value	Count	Frequency (%)
32	1	< 0.1%
26	1	< 0.1%
18	1	< 0.1%
16	3	0.1%
15	7	0.1%
13	16	0.3%
12	21	0.4%
11	22	0.4%
10	93	1.9%
9	112	2.2%

land_surface_condition
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

t	4196
n	636
o	168

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	t
2nd row	o
3rd row	t
4th row	t
5th row	t

Common Values

Value	Count	Frequency (%)
t	4196	83.9%
n	636	12.7%
o	168	3.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
t	4196	83.9%
n	636	12.7%
o	168	3.4%

Most occurring characters

Value	Count	Frequency (%)
t	4196	83.9%
n	636	12.7%
o	168	3.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	4196	83.9%
n	636	12.7%
o	168	3.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	4196	83.9%
n	636	12.7%
o	168	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	4196	83.9%
n	636	12.7%
o	168	3.4%

foundation_type
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

r	4202
w	312
u	274
i	185
h	27

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	r
2nd row	r
3rd row	r
4th row	r
5th row	r

Common Values

Value	Count	Frequency (%)
r	4202	84.0%
w	312	6.2%
u	274	5.5%
i	185	3.7%
h	27	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
r	4202	84.0%
w	312	6.2%
u	274	5.5%
i	185	3.7%
h	27	0.5%

Most occurring characters

Value	Count	Frequency (%)
r	4202	84.0%
w	312	6.2%
u	274	5.5%
i	185	3.7%
h	27	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	4202	84.0%
w	312	6.2%
u	274	5.5%
i	185	3.7%
h	27	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	4202	84.0%
w	312	6.2%
u	274	5.5%
i	185	3.7%
h	27	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	4202	84.0%
w	312	6.2%
u	274	5.5%
i	185	3.7%
h	27	0.5%

roof_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

n	3534
q	1164
x	302

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	n
2nd row	n
3rd row	n
4th row	n
5th row	n

Common Values

Value	Count	Frequency (%)
n	3534	70.7%
q	1164	23.3%
x	302	6.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
n	3534	70.7%
q	1164	23.3%
x	302	6.0%

Most occurring characters

Value	Count	Frequency (%)
n	3534	70.7%
q	1164	23.3%
x	302	6.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	3534	70.7%
q	1164	23.3%
x	302	6.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	3534	70.7%
q	1164	23.3%
x	302	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	3534	70.7%
q	1164	23.3%
x	302	6.0%

ground_floor_type
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

f	4043
v	477
x	453
z	19
m	8

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	f
2nd row	x
3rd row	f
4th row	f
5th row	f

Common Values

Value	Count	Frequency (%)
f	4043	80.9%
v	477	9.5%
x	453	9.1%
z	19	0.4%
m	8	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
f	4043	80.9%
v	477	9.5%
x	453	9.1%
z	19	0.4%
m	8	0.2%

Most occurring characters

Value	Count	Frequency (%)
f	4043	80.9%
v	477	9.5%
x	453	9.1%
z	19	0.4%
m	8	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	4043	80.9%
v	477	9.5%
x	453	9.1%
z	19	0.4%
m	8	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	4043	80.9%
v	477	9.5%
x	453	9.1%
z	19	0.4%
m	8	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	4043	80.9%
v	477	9.5%
x	453	9.1%
z	19	0.4%
m	8	0.2%

other_floor_type
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

q	3175
x	832
j	751
s	242

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	q
2nd row	q
3rd row	x
4th row	x
5th row	x

Common Values

Value	Count	Frequency (%)
q	3175	63.5%
x	832	16.6%
j	751	15.0%
s	242	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
q	3175	63.5%
x	832	16.6%
j	751	15.0%
s	242	4.8%

Most occurring characters

Value	Count	Frequency (%)
q	3175	63.5%
x	832	16.6%
j	751	15.0%
s	242	4.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
q	3175	63.5%
x	832	16.6%
j	751	15.0%
s	242	4.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
q	3175	63.5%
x	832	16.6%
j	751	15.0%
s	242	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
q	3175	63.5%
x	832	16.6%
j	751	15.0%
s	242	4.8%

position
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

s	3868
t	830
j	266
o	36

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	t
2nd row	s
3rd row	t
4th row	s
5th row	s

Common Values

Value	Count	Frequency (%)
s	3868	77.4%
t	830	16.6%
j	266	5.3%
o	36	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
s	3868	77.4%
t	830	16.6%
j	266	5.3%
o	36	0.7%

Most occurring characters

Value	Count	Frequency (%)
s	3868	77.4%
t	830	16.6%
j	266	5.3%
o	36	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	3868	77.4%
t	830	16.6%
j	266	5.3%
o	36	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	3868	77.4%
t	830	16.6%
j	266	5.3%
o	36	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	3868	77.4%
t	830	16.6%
j	266	5.3%
o	36	0.7%

plan_configuration
Categorical

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

d	4804
q	90
u	80
s	8
c	5
Other values (5)	13

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	d
2nd row	d
3rd row	d
4th row	d
5th row	d

Common Values

Value	Count	Frequency (%)
d	4804	96.1%
q	90	1.8%
u	80	1.6%
s	8	0.2%
c	5	0.1%
a	5	0.1%
m	3	0.1%
o	3	0.1%
n	1	< 0.1%
f	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
d	4804	96.1%
q	90	1.8%
u	80	1.6%
s	8	0.2%
c	5	0.1%
a	5	0.1%
m	3	0.1%
o	3	0.1%
n	1	< 0.1%
f	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
d	4804	96.1%
q	90	1.8%
u	80	1.6%
s	8	0.2%
c	5	0.1%
a	5	0.1%
m	3	0.1%
o	3	0.1%
n	1	< 0.1%
f	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	4804	96.1%
q	90	1.8%
u	80	1.6%
s	8	0.2%
c	5	0.1%
a	5	0.1%
m	3	0.1%
o	3	0.1%
n	1	< 0.1%
f	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	4804	96.1%
q	90	1.8%
u	80	1.6%
s	8	0.2%
c	5	0.1%
a	5	0.1%
m	3	0.1%
o	3	0.1%
n	1	< 0.1%
f	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	4804	96.1%
q	90	1.8%
u	80	1.6%
s	8	0.2%
c	5	0.1%
a	5	0.1%
m	3	0.1%
o	3	0.1%
n	1	< 0.1%
f	1	< 0.1%

has_superstructure_adobe_mud
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4541
1	459

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	4541	90.8%
1	459	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4541	90.8%
1	459	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	4541	90.8%
1	459	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4541	90.8%
1	459	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4541	90.8%
1	459	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4541	90.8%
1	459	9.2%

has_superstructure_mud_mortar_stone
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

1	3805
0	1195

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	3805	76.1%
0	1195	23.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	3805	76.1%
0	1195	23.9%

Most occurring characters

Value	Count	Frequency (%)
1	3805	76.1%
0	1195	23.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	3805	76.1%
0	1195	23.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	3805	76.1%
0	1195	23.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	3805	76.1%
0	1195	23.9%

has_superstructure_stone_flag
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4819
1	181

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4819	96.4%
1	181	3.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4819	96.4%
1	181	3.6%

Most occurring characters

Value	Count	Frequency (%)
0	4819	96.4%
1	181	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4819	96.4%
1	181	3.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4819	96.4%
1	181	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4819	96.4%
1	181	3.6%

has_superstructure_cement_mortar_stone
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4903
1	97

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4903	98.1%
1	97	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4903	98.1%
1	97	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	4903	98.1%
1	97	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4903	98.1%
1	97	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4903	98.1%
1	97	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4903	98.1%
1	97	1.9%

has_superstructure_mud_mortar_brick
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4675
1	325

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4675	93.5%
1	325	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4675	93.5%
1	325	6.5%

Most occurring characters

Value	Count	Frequency (%)
0	4675	93.5%
1	325	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4675	93.5%
1	325	6.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4675	93.5%
1	325	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4675	93.5%
1	325	6.5%

has_superstructure_cement_mortar_brick
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4636
1	364

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4636	92.7%
1	364	7.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4636	92.7%
1	364	7.3%

Most occurring characters

Value	Count	Frequency (%)
0	4636	92.7%
1	364	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4636	92.7%
1	364	7.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4636	92.7%
1	364	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4636	92.7%
1	364	7.3%

has_superstructure_timber
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	3720
1	1280

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	3720	74.4%
1	1280	25.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3720	74.4%
1	1280	25.6%

Most occurring characters

Value	Count	Frequency (%)
0	3720	74.4%
1	1280	25.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3720	74.4%
1	1280	25.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3720	74.4%
1	1280	25.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3720	74.4%
1	1280	25.6%

has_superstructure_bamboo
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4547
1	453

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	4547	90.9%
1	453	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4547	90.9%
1	453	9.1%

Most occurring characters

Value	Count	Frequency (%)
0	4547	90.9%
1	453	9.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4547	90.9%
1	453	9.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4547	90.9%
1	453	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4547	90.9%
1	453	9.1%

has_superstructure_rc_non_engineered
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4814
1	186

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4814	96.3%
1	186	3.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4814	96.3%
1	186	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	4814	96.3%
1	186	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4814	96.3%
1	186	3.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4814	96.3%
1	186	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4814	96.3%
1	186	3.7%

has_superstructure_rc_engineered
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4922
1	78

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4922	98.4%
1	78	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4922	98.4%
1	78	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	4922	98.4%
1	78	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4922	98.4%
1	78	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4922	98.4%
1	78	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4922	98.4%
1	78	1.6%

has_superstructure_other
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4931
1	69

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4931	98.6%
1	69	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4931	98.6%
1	69	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	4931	98.6%
1	69	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4931	98.6%
1	69	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4931	98.6%
1	69	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4931	98.6%
1	69	1.4%

legal_ownership_status
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

v	4810
a	100
w	61
r	29

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	v
2nd row	v
3rd row	v
4th row	v
5th row	v

Common Values

Value	Count	Frequency (%)
v	4810	96.2%
a	100	2.0%
w	61	1.2%
r	29	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
v	4810	96.2%
a	100	2.0%
w	61	1.2%
r	29	0.6%

Most occurring characters

Value	Count	Frequency (%)
v	4810	96.2%
a	100	2.0%
w	61	1.2%
r	29	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
v	4810	96.2%
a	100	2.0%
w	61	1.2%
r	29	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
v	4810	96.2%
a	100	2.0%
w	61	1.2%
r	29	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
v	4810	96.2%
a	100	2.0%
w	61	1.2%
r	29	0.6%

count_families
Real number (ℝ)

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9834

Minimum	0
Maximum	5
Zeros	372
Zeros (%)	7.4%
Negative	0
Negative (%)	0.0%
Memory size	207.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.39440531
Coefficient of variation (CV)	0.40106296
Kurtosis	15.18297
Mean	0.9834
Median Absolute Deviation (MAD)	0
Skewness	1.3430566
Sum	4917
Variance	0.15555555
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	4384	87.7%
0	372	7.4%
2	210	4.2%
3	26	0.5%
4	5	0.1%
5	3	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	372	7.4%
1	4384	87.7%
2	210	4.2%
3	26	0.5%
4	5	0.1%
5	3	0.1%

Value	Count	Frequency (%)
5	3	0.1%
4	5	0.1%
3	26	0.5%
2	210	4.2%
1	4384	87.7%
0	372	7.4%

has_secondary_use
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4439
1	561

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4439	88.8%
1	561	11.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4439	88.8%
1	561	11.2%

Most occurring characters

Value	Count	Frequency (%)
0	4439	88.8%
1	561	11.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4439	88.8%
1	561	11.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4439	88.8%
1	561	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4439	88.8%
1	561	11.2%

has_secondary_use_agriculture
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4673
1	327

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4673	93.5%
1	327	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4673	93.5%
1	327	6.5%

Most occurring characters

Value	Count	Frequency (%)
0	4673	93.5%
1	327	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4673	93.5%
1	327	6.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4673	93.5%
1	327	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4673	93.5%
1	327	6.5%

has_secondary_use_hotel
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4834
1	166

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4834	96.7%
1	166	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4834	96.7%
1	166	3.3%

Most occurring characters

Value	Count	Frequency (%)
0	4834	96.7%
1	166	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4834	96.7%
1	166	3.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4834	96.7%
1	166	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4834	96.7%
1	166	3.3%

has_secondary_use_rental
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4963
1	37

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4963	99.3%
1	37	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4963	99.3%
1	37	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	4963	99.3%
1	37	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4963	99.3%
1	37	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4963	99.3%
1	37	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4963	99.3%
1	37	0.7%

has_secondary_use_institution
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4996
1	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4996	99.9%
1	4	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4996	99.9%
1	4	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	4996	99.9%
1	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4996	99.9%
1	4	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4996	99.9%
1	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4996	99.9%
1	4	0.1%

has_secondary_use_school
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4998
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4998	> 99.9%
1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4998	> 99.9%
1	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	4998	> 99.9%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4998	> 99.9%
1	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4998	> 99.9%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4998	> 99.9%
1	2	< 0.1%

has_secondary_use_industry
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4993
1	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4993	99.9%
1	7	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4993	99.9%
1	7	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	4993	99.9%
1	7	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4993	99.9%
1	7	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4993	99.9%
1	7	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4993	99.9%
1	7	0.1%

has_secondary_use_health_post
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4997
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4997	99.9%
1	3	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4997	99.9%
1	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	4997	99.9%
1	3	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4997	99.9%
1	3	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4997	99.9%
1	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4997	99.9%
1	3	0.1%

has_secondary_use_gov_office
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	5000

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5000	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	5000	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5000	100.0%

has_secondary_use_use_police
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	5000

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5000	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	5000	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5000	100.0%

has_secondary_use_other
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

0	4977
1	23

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4977	99.5%
1	23	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4977	99.5%
1	23	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	4977	99.5%
1	23	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4977	99.5%
1	23	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4977	99.5%
1	23	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4977	99.5%
1	23	0.5%

damage_grade
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	207.2 KiB

2	2866
3	1646
1	488

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	3
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
2	2866	57.3%
3	1646	32.9%
1	488	9.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	2866	57.3%
3	1646	32.9%
1	488	9.8%

Most occurring characters

Value	Count	Frequency (%)
2	2866	57.3%
3	1646	32.9%
1	488	9.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	2866	57.3%
3	1646	32.9%
1	488	9.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	2866	57.3%
3	1646	32.9%
1	488	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	2866	57.3%
3	1646	32.9%
1	488	9.8%

Auto

Heatmap
Table

	building_id	geo_level_1_id	geo_level_2_id	geo_level_3_id	count_floors_pre_eq	age	area_percentage	height_percentage	count_families	land_surface_condition	foundation_type	roof_type	ground_floor_type	other_floor_type	position	plan_configuration	has_superstructure_adobe_mud	has_superstructure_mud_mortar_stone	has_superstructure_stone_flag	has_superstructure_cement_mortar_stone	has_superstructure_mud_mortar_brick	has_superstructure_cement_mortar_brick	has_superstructure_timber	has_superstructure_bamboo	has_superstructure_rc_non_engineered	has_superstructure_rc_engineered	has_superstructure_other	legal_ownership_status	has_secondary_use	has_secondary_use_agriculture	has_secondary_use_hotel	has_secondary_use_rental	has_secondary_use_institution	has_secondary_use_school	has_secondary_use_industry	has_secondary_use_health_post	has_secondary_use_other	damage_grade
building_id	1.000	0.010	0.025	-0.016	0.012	0.003	-0.002	-0.003	-0.002	0.000	0.000	0.027	0.009	0.016	0.000	0.000	0.000	0.000	0.018	0.000	0.000	0.000	0.000	0.000	0.016	0.000	0.039	0.012	0.000	0.000	0.012	0.014	0.021	0.000	0.000	0.000	0.000	0.014
geo_level_1_id	0.010	1.000	-0.068	-0.002	-0.084	-0.054	0.033	-0.081	0.039	0.055	0.203	0.201	0.097	0.117	0.124	0.040	0.270	0.333	0.103	0.059	0.260	0.193	0.228	0.258	0.054	0.063	0.074	0.097	0.112	0.126	0.025	0.007	0.000	0.000	0.000	0.000	0.026	0.260
geo_level_2_id	0.025	-0.068	1.000	-0.006	0.051	0.043	-0.013	0.039	-0.003	0.035	0.096	0.060	0.069	0.065	0.062	0.026	0.088	0.153	0.061	0.032	0.109	0.100	0.084	0.086	0.031	0.058	0.000	0.084	0.000	0.034	0.000	0.036	0.000	0.000	0.000	0.000	0.036	0.076
geo_level_3_id	-0.016	-0.002	-0.006	1.000	-0.010	-0.003	0.021	-0.020	-0.009	0.036	0.019	0.017	0.000	0.010	0.000	0.000	0.042	0.031	0.044	0.011	0.043	0.017	0.036	0.029	0.039	0.000	0.000	0.049	0.000	0.037	0.000	0.000	0.023	0.000	0.000	0.000	0.000	0.000
count_floors_pre_eq	0.012	-0.084	0.051	-0.010	1.000	0.274	0.117	0.755	0.074	0.066	0.152	0.188	0.132	0.582	0.308	0.184	0.195	0.360	0.044	0.000	0.411	0.250	0.109	0.084	0.098	0.198	0.018	0.044	0.074	0.058	0.165	0.039	0.000	0.052	0.039	0.084	0.000	0.157
age	0.003	-0.054	0.043	-0.003	0.274	1.000	-0.022	0.220	0.088	0.014	0.020	0.003	0.035	0.024	0.134	0.026	0.081	0.085	0.000	0.000	0.179	0.000	0.000	0.023	0.009	0.003	0.000	0.000	0.000	0.015	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.024
area_percentage	-0.002	0.033	-0.013	0.021	0.117	-0.022	1.000	0.204	0.053	0.019	0.167	0.242	0.168	0.177	0.046	0.191	0.000	0.251	0.000	0.106	0.051	0.216	0.027	0.000	0.178	0.245	0.010	0.006	0.130	0.019	0.182	0.100	0.000	0.178	0.000	0.065	0.000	0.109
height_percentage	-0.003	-0.081	0.039	-0.020	0.755	0.220	0.204	1.000	0.039	0.038	0.172	0.260	0.129	0.305	0.218	0.185	0.145	0.274	0.000	0.053	0.257	0.156	0.056	0.041	0.205	0.268	0.000	0.000	0.130	0.000	0.227	0.068	0.000	0.118	0.000	0.201	0.000	0.093
count_families	-0.002	0.039	-0.003	-0.009	0.074	0.088	0.053	0.039	1.000	0.000	0.064	0.099	0.054	0.069	0.046	0.000	0.034	0.061	0.000	0.041	0.066	0.080	0.020	0.026	0.070	0.115	0.000	0.029	0.123	0.049	0.106	0.096	0.000	0.000	0.000	0.000	0.000	0.076
land_surface_condition	0.000	0.055	0.035	0.036	0.066	0.014	0.019	0.038	0.000	1.000	0.018	0.032	0.058	0.050	0.046	0.000	0.029	0.084	0.053	0.022	0.060	0.055	0.053	0.000	0.000	0.013	0.027	0.024	0.000	0.021	0.030	0.006	0.029	0.000	0.000	0.000	0.011	0.026
foundation_type	0.000	0.203	0.096	0.019	0.152	0.020	0.167	0.172	0.064	0.018	1.000	0.533	0.356	0.400	0.105	0.072	0.103	0.553	0.154	0.213	0.069	0.497	0.370	0.323	0.511	0.524	0.059	0.154	0.168	0.051	0.262	0.181	0.030	0.098	0.035	0.041	0.032	0.312
roof_type	0.027	0.201	0.060	0.017	0.188	0.003	0.242	0.260	0.099	0.032	0.533	1.000	0.473	0.529	0.132	0.044	0.066	0.422	0.037	0.080	0.034	0.371	0.150	0.096	0.465	0.483	0.024	0.039	0.166	0.050	0.266	0.164	0.016	0.032	0.033	0.059	0.000	0.249
ground_floor_type	0.009	0.097	0.069	0.000	0.132	0.035	0.168	0.129	0.054	0.058	0.356	0.473	1.000	0.370	0.093	0.037	0.078	0.488	0.116	0.159	0.076	0.573	0.105	0.086	0.360	0.370	0.000	0.028	0.171	0.063	0.289	0.147	0.033	0.055	0.141	0.046	0.058	0.260
other_floor_type	0.016	0.117	0.065	0.010	0.582	0.024	0.177	0.305	0.069	0.050	0.400	0.529	0.370	1.000	0.131	0.048	0.091	0.440	0.115	0.108	0.026	0.421	0.190	0.080	0.406	0.387	0.029	0.059	0.202	0.061	0.307	0.165	0.018	0.085	0.059	0.069	0.030	0.244
position	0.000	0.124	0.062	0.000	0.308	0.134	0.046	0.218	0.046	0.046	0.105	0.132	0.093	0.131	1.000	0.052	0.188	0.290	0.014	0.025	0.334	0.113	0.070	0.084	0.115	0.107	0.000	0.014	0.153	0.022	0.258	0.085	0.000	0.032	0.055	0.023	0.000	0.050
plan_configuration	0.000	0.040	0.026	0.000	0.184	0.026	0.191	0.185	0.000	0.000	0.072	0.044	0.037	0.048	0.052	1.000	0.008	0.126	0.017	0.022	0.093	0.064	0.038	0.045	0.000	0.118	0.160	0.059	0.039	0.000	0.033	0.000	0.059	0.313	0.000	0.040	0.000	0.087
has_superstructure_adobe_mud	0.000	0.270	0.088	0.042	0.195	0.081	0.000	0.145	0.034	0.029	0.103	0.066	0.078	0.091	0.188	0.008	1.000	0.323	0.011	0.000	0.263	0.043	0.000	0.000	0.028	0.034	0.012	0.055	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.064
has_superstructure_mud_mortar_stone	0.000	0.333	0.153	0.031	0.360	0.085	0.251	0.274	0.061	0.084	0.553	0.422	0.488	0.440	0.290	0.126	0.323	1.000	0.000	0.092	0.348	0.445	0.038	0.046	0.218	0.219	0.000	0.134	0.074	0.068	0.166	0.090	0.000	0.019	0.033	0.005	0.000	0.339
has_superstructure_stone_flag	0.018	0.103	0.061	0.044	0.044	0.000	0.000	0.000	0.000	0.053	0.154	0.037	0.116	0.115	0.014	0.017	0.011	0.000	1.000	0.036	0.018	0.046	0.140	0.066	0.012	0.014	0.044	0.005	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.060
has_superstructure_cement_mortar_stone	0.000	0.059	0.032	0.011	0.000	0.000	0.106	0.053	0.041	0.022	0.213	0.080	0.159	0.108	0.025	0.022	0.000	0.092	0.036	1.000	0.000	0.045	0.021	0.000	0.082	0.000	0.003	0.000	0.037	0.000	0.040	0.000	0.016	0.000	0.000	0.000	0.018	0.064
has_superstructure_mud_mortar_brick	0.000	0.260	0.109	0.043	0.411	0.179	0.051	0.257	0.066	0.060	0.069	0.034	0.076	0.026	0.334	0.093	0.263	0.348	0.018	0.000	1.000	0.000	0.000	0.009	0.034	0.019	0.000	0.008	0.000	0.025	0.056	0.000	0.000	0.000	0.000	0.000	0.000	0.067
has_superstructure_cement_mortar_brick	0.000	0.193	0.100	0.017	0.250	0.000	0.216	0.156	0.080	0.055	0.497	0.371	0.573	0.421	0.113	0.064	0.043	0.445	0.046	0.045	0.000	1.000	0.058	0.059	0.109	0.091	0.000	0.068	0.073	0.042	0.147	0.078	0.000	0.000	0.015	0.000	0.000	0.285
has_superstructure_timber	0.000	0.228	0.084	0.036	0.109	0.000	0.027	0.056	0.020	0.053	0.370	0.150	0.105	0.190	0.070	0.038	0.000	0.038	0.140	0.021	0.000	0.058	1.000	0.457	0.039	0.071	0.085	0.118	0.015	0.000	0.041	0.000	0.000	0.000	0.000	0.000	0.000	0.073
has_superstructure_bamboo	0.000	0.258	0.086	0.029	0.084	0.023	0.000	0.041	0.026	0.000	0.323	0.096	0.086	0.080	0.084	0.045	0.000	0.046	0.066	0.000	0.009	0.059	0.457	1.000	0.000	0.034	0.078	0.084	0.018	0.000	0.043	0.005	0.000	0.000	0.000	0.000	0.008	0.078
has_superstructure_rc_non_engineered	0.016	0.054	0.031	0.039	0.098	0.009	0.178	0.205	0.070	0.000	0.511	0.465	0.360	0.406	0.115	0.000	0.028	0.218	0.012	0.082	0.034	0.109	0.039	0.000	1.000	0.000	0.000	0.000	0.105	0.000	0.178	0.036	0.000	0.000	0.000	0.009	0.000	0.209
has_superstructure_rc_engineered	0.000	0.063	0.058	0.000	0.198	0.003	0.245	0.268	0.115	0.013	0.524	0.483	0.370	0.387	0.107	0.118	0.034	0.219	0.014	0.000	0.019	0.091	0.071	0.034	0.000	1.000	0.000	0.000	0.115	0.019	0.134	0.167	0.000	0.118	0.000	0.026	0.000	0.231
has_superstructure_other	0.039	0.074	0.000	0.000	0.018	0.000	0.010	0.000	0.000	0.027	0.059	0.024	0.000	0.029	0.000	0.160	0.012	0.000	0.044	0.003	0.000	0.000	0.085	0.078	0.000	0.000	1.000	0.000	0.000	0.000	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.010
legal_ownership_status	0.012	0.097	0.084	0.049	0.044	0.000	0.006	0.000	0.029	0.024	0.154	0.039	0.028	0.059	0.014	0.059	0.055	0.134	0.005	0.000	0.008	0.068	0.118	0.084	0.000	0.000	0.000	1.000	0.037	0.015	0.090	0.000	0.000	0.000	0.022	0.000	0.070	0.077
has_secondary_use	0.000	0.112	0.000	0.000	0.074	0.000	0.130	0.130	0.123	0.000	0.168	0.166	0.171	0.202	0.153	0.039	0.000	0.074	0.000	0.037	0.000	0.073	0.015	0.018	0.105	0.115	0.000	0.037	1.000	0.743	0.519	0.239	0.067	0.038	0.096	0.054	0.186	0.064
has_secondary_use_agriculture	0.000	0.126	0.034	0.037	0.058	0.015	0.019	0.000	0.049	0.021	0.051	0.050	0.063	0.061	0.022	0.000	0.000	0.068	0.000	0.000	0.025	0.042	0.000	0.000	0.000	0.019	0.000	0.015	0.743	1.000	0.045	0.011	0.000	0.000	0.000	0.000	0.058	0.063
has_secondary_use_hotel	0.012	0.025	0.000	0.000	0.165	0.000	0.182	0.227	0.106	0.030	0.262	0.266	0.289	0.307	0.258	0.033	0.000	0.166	0.005	0.040	0.056	0.147	0.041	0.043	0.178	0.134	0.010	0.090	0.519	0.045	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.111
has_secondary_use_rental	0.014	0.007	0.036	0.000	0.039	0.000	0.100	0.068	0.096	0.006	0.181	0.164	0.147	0.165	0.085	0.000	0.000	0.090	0.000	0.000	0.000	0.078	0.000	0.005	0.036	0.167	0.000	0.000	0.239	0.011	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.082
has_secondary_use_institution	0.021	0.000	0.000	0.023	0.000	0.000	0.000	0.000	0.000	0.029	0.030	0.016	0.033	0.018	0.000	0.059	0.000	0.000	0.000	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.067	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000
has_secondary_use_school	0.000	0.000	0.000	0.000	0.052	0.000	0.178	0.118	0.000	0.000	0.098	0.032	0.055	0.085	0.032	0.313	0.000	0.019	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.118	0.000	0.000	0.038	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000
has_secondary_use_industry	0.000	0.000	0.000	0.000	0.039	0.000	0.000	0.000	0.000	0.000	0.035	0.033	0.141	0.059	0.055	0.000	0.000	0.033	0.000	0.000	0.000	0.015	0.000	0.000	0.000	0.000	0.000	0.022	0.096	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.016
has_secondary_use_health_post	0.000	0.000	0.000	0.000	0.084	0.000	0.065	0.201	0.000	0.000	0.041	0.059	0.046	0.069	0.023	0.040	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.009	0.026	0.000	0.000	0.054	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.012
has_secondary_use_other	0.000	0.026	0.036	0.000	0.000	0.000	0.000	0.000	0.000	0.011	0.032	0.000	0.058	0.030	0.000	0.000	0.000	0.000	0.000	0.018	0.000	0.000	0.000	0.008	0.000	0.000	0.000	0.070	0.186	0.058	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000
damage_grade	0.014	0.260	0.076	0.000	0.157	0.024	0.109	0.093	0.076	0.026	0.312	0.249	0.260	0.244	0.050	0.087	0.064	0.339	0.060	0.064	0.067	0.285	0.073	0.078	0.209	0.231	0.010	0.077	0.064	0.063	0.111	0.082	0.000	0.000	0.016	0.012	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	building_id	geo_level_1_id	geo_level_2_id	geo_level_3_id	count_floors_pre_eq	age	area_percentage	height_percentage	land_surface_condition	foundation_type	roof_type	ground_floor_type	other_floor_type	position	plan_configuration	has_superstructure_adobe_mud	has_superstructure_mud_mortar_stone	has_superstructure_cement_mortar_brick	has_superstructure_timber	has_superstructure_bamboo	legal_ownership_status	count_families	has_secondary_use	has_secondary_use_agriculture	damage_grade
0	802906	6	487	12198	2	30	6	5	t	r	n	f	q	t	d	1	1	0	0	0	v	1	0	0	3
1	28830	8	900	2812	2	10	8	7	o	r	n	x	q	s	d	0	1	0	0	0	v	1	0	0	2
2	94947	21	363	8973	2	10	5	5	t	r	n	f	x	t	d	0	1	0	0	0	v	1	0	0	3
3	590882	22	418	10694	2	10	6	5	t	r	n	f	x	s	d	0	1	0	1	1	v	1	0	0	2
4	201944	11	131	1488	3	30	8	9	t	r	n	f	x	s	d	1	0	0	0	0	v	1	0	0	3
5	333020	8	558	6089	2	10	9	5	t	r	n	f	q	s	d	0	1	0	0	0	v	1	1	1	2
6	728451	9	475	12066	2	25	3	4	n	r	n	x	q	s	d	0	1	0	0	0	v	1	0	0	3
7	475515	20	323	12236	2	0	8	6	t	w	q	v	x	s	u	0	0	1	1	0	v	1	0	0	1
8	441126	0	757	7219	2	15	8	6	t	r	q	f	q	s	d	0	1	0	1	0	v	1	0	0	2
9	989500	26	886	994	1	0	13	4	t	i	n	v	j	s	d	0	0	1	0	0	v	1	0	0	1

	building_id	geo_level_1_id	geo_level_2_id	geo_level_3_id	count_floors_pre_eq	age	area_percentage	height_percentage	land_surface_condition	foundation_type	roof_type	ground_floor_type	other_floor_type	position	plan_configuration	has_superstructure_mud_mortar_stone	has_superstructure_mud_mortar_brick	has_superstructure_timber	has_superstructure_rc_non_engineered	legal_ownership_status	count_families	has_secondary_use	has_secondary_use_agriculture	has_secondary_use_hotel	damage_grade
4990	195225	21	1426	10499	2	0	5	4	n	r	n	f	x	s	d	1	0	0	0	v	1	0	0	0	2
4991	311634	26	39	2005	2	15	27	7	t	i	x	v	s	t	d	0	0	0	1	v	1	1	0	1	2
4992	886129	6	1210	1237	2	10	6	5	t	r	n	f	q	s	d	1	0	0	0	v	1	0	0	0	3
4993	403506	6	449	484	1	20	9	3	t	r	n	f	j	s	d	1	0	0	0	v	1	0	0	0	2
4994	792506	27	548	6560	2	20	14	6	o	r	n	f	q	s	d	1	0	0	0	v	1	0	0	0	3
4995	415406	9	1151	6179	1	20	3	2	t	r	n	f	j	s	d	1	0	0	0	v	1	0	0	0	2
4996	264724	10	1055	11945	2	10	5	6	t	r	q	f	q	t	d	1	0	0	0	v	1	0	0	0	2
4997	45209	4	734	8313	3	25	6	5	t	r	n	f	q	s	d	1	0	0	0	v	0	1	1	0	2
4998	814294	11	660	9636	4	80	6	8	t	r	n	f	q	o	d	0	1	1	0	v	1	0	0	0	3
4999	891577	6	376	11743	2	40	13	6	t	r	q	f	q	s	d	1	0	0	0	v	1	1	1	0	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII